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2020 – today
- 2024
[j15]Yuanlu Chen
, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Libang Zhao, Feng Wu:
General Federated Class-Incremental Learning With Lightweight Generative Replay. IEEE Internet Things J. 11(20): 33927-33939 (2024)- [j14]Siwei Feng, Han Yu, Yuebing Zhu:
MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios. Sensors 24(2): 619 (2024) - [c16]Alysa Ziying Tan, Siwei Feng, Han Yu:
FL-Clip: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models. ICME 2024: 1-6 - 2023
- [j13]Siwei Feng:
Wavelet-Based Semantic Feature Representation for Hyperspectral Signature Discrimination. IEEE Access 11: 138515-138529 (2023) - [j12]Kai Gao, Si Wei Feng, Baichuan Huang, Jingjin Yu:
Minimizing running buffers for tabletop object rearrangement: Complexity, fast algorithms, and applications. Int. J. Robotics Res. 42(10): 755-776 (2023) - [c15]Si Wei Feng, Teng Guo, Jingjin Yu:
Optimal Allocation of Many Robot Guards for Sweep-Line Coverage. ICRA 2023: 3614-3620 - [c14]Andy Xu, Kai Gao, Si Wei Feng, Jingjin Yu:
Optimal and Stable Multi-Layer Object Rearrangement on a Tabletop. IROS 2023: 2078-2085 - [i19]Si Wei Feng, Teng Guo, Jingjin Yu:
Optimal Allocation of Many Robot Guards for Sweep-Line Coverage. CoRR abs/2302.04319 (2023) - [i18]Si Wei Feng, Jingjin Yu:
Efficient Algorithms for Boundary Defense with Heterogeneous Defenders. CoRR abs/2302.09706 (2023) - [i17]Kai Gao, Si Wei Feng, Baichuan Huang, Jingjin Yu:
Minimizing Running Buffers for Tabletop Object Rearrangement: Complexity, Fast Algorithms, and Applications. CoRR abs/2304.01764 (2023) - [i16]Andy Xu, Kai Gao, Si Wei Feng, Jingjin Yu:
Optimal and Stable Multi-Layer Object Rearrangement on a Tabletop. CoRR abs/2306.14251 (2023) - 2022
- [j11]Siwei Feng:
Vertical federated learning-based feature selection with non-overlapping sample utilization. Expert Syst. Appl. 208: 118097 (2022) - [j10]Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang:
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252: 109384 (2022) - [j9]Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao:
Federated Learning for Personalized Humor Recognition. ACM Trans. Intell. Syst. Technol. 13(4): 68:1-68:18 (2022) - [c13]Teng Guo, Si Wei Feng, Mario Szegedy, Jingjin Yu:
Rubik Tables, Stack Rearrangement, and Multi-Robot Path Planning. Allerton 2022: 1-4 - [c12]Si Wei Feng, Jingjin Yu:
Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines. ICRA 2022: 5828-5834 - [c11]Teng Guo, Si Wei Feng, Jingjin Yu:
Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions with Applications to Large-Scale UAV Coordination. IROS 2022: 10074-10080 - [i15]Teng Guo, Siwei Feng, Jingjin Yu:
Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions with Applications to Large-Scale UAV Coordination. CoRR abs/2207.02735 (2022) - 2021
- [j8]Si Wei Feng, Teng Guo, Kostas E. Bekris, Jingjin Yu:
Team RuBot's experiences and lessons from the ARIAC. Robotics Comput. Integr. Manuf. 70: 102126 (2021) - [c10]Shuai D. Han, Baichuan Huang, Sijie Ding, Changkyu Song, Si Wei Feng, Ming Xu, Hao Lin, Qingze Zou, Abdeslam Boularias, Jingjin Yu:
Toward Fully Automated Metal Recycling using Computer Vision and Non-Prehensile Manipulation. CASE 2021: 891-898 - [c9]Si Wei Feng, Kai Gao, Jie Gong, Jingjin Yu:
Sensor Placement for Globally Optimal Coverage of 3D-Embedded Surfaces. ICRA 2021: 8600-8606 - [c8]Kai Gao, Siwei Feng, Jingjin Yu:
On Minimizing the Number of Running Buffers for Tabletop Rearrangement. Robotics: Science and Systems 2021 - [i14]Si Wei Feng, Kai Gao, Jie Gong, Jingjin Yu:
Sensor Placement for Globally Optimal Coverage of 3D-Embedded Surfaces. CoRR abs/2103.10521 (2021) - [i13]Kai Gao, Si Wei Feng, Jingjin Yu:
On Minimizing the Number of Running Buffers for Tabletop Rearrangement. CoRR abs/2105.06357 (2021) - [i12]Si Wei Feng, Jingjin Yu:
Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines. CoRR abs/2111.09151 (2021) - 2020
- [j7]Siwei Feng, Han Yu, Marco F. Duarte:
Autoencoder based sample selection for self-taught learning. Knowl. Based Syst. 192: 105343 (2020) - [j6]Si Wei Feng, Jingjin Yu:
Optimal Perimeter Guarding With Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms. IEEE Robotics Autom. Lett. 5(2): 430-437 (2020) - [j5]Shuai D. Han, Si Wei Feng, Jingjin Yu:
Toward Fast and Optimal Robotic Pick-and-Place on a Moving Conveyor. IEEE Robotics Autom. Lett. 5(2): 446-453 (2020) - [c7]Siwei Feng, Jingjin Yu:
Optimally Guarding Perimeters and Regions with Mobile Range Sensors. Robotics: Science and Systems 2020 - [i11]Siwei Feng, Han Yu:
Multi-Participant Multi-Class Vertical Federated Learning. CoRR abs/2001.11154 (2020) - [i10]Si Wei Feng, Jingjin Yu:
Optimally Guarding Perimeters and Regions with Mobile Range Sensors. CoRR abs/2002.08477 (2020) - [i9]Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao:
Federated Learning with Diversified Preference for Humor Recognition. CoRR abs/2012.01675 (2020)
2010 – 2019
- 2019
- [j4]Siwei Feng, Marco F. Duarte:
Few-shot learning-based human activity recognition. Expert Syst. Appl. 138 (2019) - [c6]Si Wei Feng, Shuai D. Han, Jingjin Yu:
Efficient Algorithms for Optimal Perimeter Guarding. Robotics: Science and Systems 2019 - [i8]Siwei Feng, Marco F. Duarte:
Few-Shot Learning-Based Human Activity Recognition. CoRR abs/1903.10416 (2019) - [i7]Si Wei Feng, Shuai D. Han, Kai Gao, Jingjin Yu:
Efficient Algorithms for Optimal Perimeter Guarding. CoRR abs/1905.04434 (2019) - [i6]Shuai D. Han, Si Wei Feng, Jingjin Yu:
Toward Fast and Optimal Robotic Pick-and-Place on a Moving Conveyor. CoRR abs/1912.08009 (2019) - [i5]Si Wei Feng, Jingjin Yu:
Optimal Perimeter Guarding with Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms. CoRR abs/1912.08591 (2019) - 2018
- [j3]Siwei Feng, Marco F. Duarte:
Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation. Neurocomputing 312: 310-323 (2018) - [c5]Siwei Feng, Marco F. Duarte:
Graph Regularized Autoencoder-Based Unsupervised Feature Selection. ACSSC 2018: 55-59 - [i4]Siwei Feng, Marco F. Duarte:
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation. CoRR abs/1801.02251 (2018) - [i3]Siwei Feng, Marco F. Duarte:
Autoencoder Based Sample Selection for Self-Taught Learning. CoRR abs/1808.01574 (2018) - 2017
- [j2]Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte:
Hyperspectral Band Selection From Statistical Wavelet Models. IEEE Trans. Geosci. Remote. Sens. 55(4): 2111-2123 (2017) - [j1]Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente:
Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation. IEEE Trans. Geosci. Remote. Sens. 55(6): 3272-3286 (2017) - [i2]Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente:
Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation. CoRR abs/1701.00804 (2017) - 2016
- [c4]Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte:
Band selection from statistical wavelet models. WHISPERS 2016: 1-5 - [i1]Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte:
Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination. CoRR abs/1602.03903 (2016) - 2015
- [c3]Siwei Feng, Marco F. Duarte, Mario Parente:
Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. CVPR Workshops 2015: 19-27 - 2014
- [c2]Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte:
Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification. ICIP 2014: 5167-5171 - [c1]Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente:
Hyperspectral unmixing via semantic spectral representations. MWSCAS 2014: 149-152
Coauthor Index
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